Selectivity is extremely important in analytical chemistry but its definition is elusive despite continued efforts by professional organizations and individual scientists. This paper shows that the existing selectivity concepts for univariate analytical methods broadly fall in two classes: selectivity concepts based on measurement error and concepts based on response surfaces (the response surface being the 3D plot of the univariate signal as a function of analyte and interferent concentration, respectively). The strengths and weaknesses of the different definitions are analyzed and contradictions between them unveiled. The error based selectivity is very general and very safe but its application to a range of samples (as opposed to a single sample) requires the knowledge of some constraint about the possible sample compositions. The selectivity concepts based on the response surface are easily applied to linear response surfaces but may lead to difficulties and counterintuitive result...s when applied to nonlinear response surfaces. A particular advantage of this class of selectivity is that with linear response surfaces it can provide a concentration independent measure of selectivity. In contrast, the error based selectivity concept allows only yes/no type decision about selectivity.
TY - JOUR
AU - Dorko, Zsanett
AU - Verbić, Tatjana
AU - Horvai, George
PY - 2015
UR - https://cherry.chem.bg.ac.rs/handle/123456789/1655
AB - Selectivity is extremely important in analytical chemistry but its definition is elusive despite continued efforts by professional organizations and individual scientists. This paper shows that the existing selectivity concepts for univariate analytical methods broadly fall in two classes: selectivity concepts based on measurement error and concepts based on response surfaces (the response surface being the 3D plot of the univariate signal as a function of analyte and interferent concentration, respectively). The strengths and weaknesses of the different definitions are analyzed and contradictions between them unveiled. The error based selectivity is very general and very safe but its application to a range of samples (as opposed to a single sample) requires the knowledge of some constraint about the possible sample compositions. The selectivity concepts based on the response surface are easily applied to linear response surfaces but may lead to difficulties and counterintuitive results when applied to nonlinear response surfaces. A particular advantage of this class of selectivity is that with linear response surfaces it can provide a concentration independent measure of selectivity. In contrast, the error based selectivity concept allows only yes/no type decision about selectivity.
PB - Elsevier Science Bv, Amsterdam
T2 - Talanta
T1 - Selectivity in analytical chemistry: Two interpretations for univariate methods
VL - 132
SP - 680
EP - 684
DO - 10.1016/j.talanta.2014.10.018
UR - Kon_2801
ER -
@article{
author = "Dorko, Zsanett and Verbić, Tatjana and Horvai, George",
year = "2015",
abstract = "Selectivity is extremely important in analytical chemistry but its definition is elusive despite continued efforts by professional organizations and individual scientists. This paper shows that the existing selectivity concepts for univariate analytical methods broadly fall in two classes: selectivity concepts based on measurement error and concepts based on response surfaces (the response surface being the 3D plot of the univariate signal as a function of analyte and interferent concentration, respectively). The strengths and weaknesses of the different definitions are analyzed and contradictions between them unveiled. The error based selectivity is very general and very safe but its application to a range of samples (as opposed to a single sample) requires the knowledge of some constraint about the possible sample compositions. The selectivity concepts based on the response surface are easily applied to linear response surfaces but may lead to difficulties and counterintuitive results when applied to nonlinear response surfaces. A particular advantage of this class of selectivity is that with linear response surfaces it can provide a concentration independent measure of selectivity. In contrast, the error based selectivity concept allows only yes/no type decision about selectivity.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Talanta",
title = "Selectivity in analytical chemistry: Two interpretations for univariate methods",
volume = "132",
pages = "680-684",
doi = "10.1016/j.talanta.2014.10.018",
url = "Kon_2801"
}
Dorko, Z., Verbić, T.,& Horvai, G.. (2015). Selectivity in analytical chemistry: Two interpretations for univariate methods. in Talanta
Elsevier Science Bv, Amsterdam., 132, 680-684.
https://doi.org/10.1016/j.talanta.2014.10.018
Kon_2801
Dorko Z, Verbić T, Horvai G. Selectivity in analytical chemistry: Two interpretations for univariate methods. in Talanta. 2015;132:680-684.
doi:10.1016/j.talanta.2014.10.018
Kon_2801 .
Dorko, Zsanett, Verbić, Tatjana, Horvai, George, "Selectivity in analytical chemistry: Two interpretations for univariate methods" in Talanta, 132 (2015):680-684,
https://doi.org/10.1016/j.talanta.2014.10.018 .,
Kon_2801 .
